ComputingComputer ScienceAlgorithmsOptimizationRecombinationCombinatorial OptimizationCrossover OperatorsEvolutionary ComputationGenetic AlgorithmsHeuristic OptimizationMetaheuristic OptimizationCombinatorial Optimization HeuristicsGenetic Algorithm OptimizationHeuristic ComputationHeuristic CrossoverOrder CrossoverTraveling Salesman Problem
Two new crossover operators in genetic algorithms for solving some combinatorial problems with ordering are presented. One is enhanced order crossover (EOX). The other, GREE, is a heuristic crossover for a class of combinatorial optimization problems, such as traveling salesman problems (TSPs). Genetic algorithms using GREE as unique crossover run very fast and get good solutions. Combining GREE with EOX, genetic algorithms can find optimal or very near optimal solutions in a rather short time.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Genetic algorithms in search, optimization, and machine learning
Choice Reviews Online · 1989 · 49.3K citations
The travelling salesman problem
Moshe Dror · European Journal of Operational Research · 1986 · 206 citations